CN113780943A - Article storage layout method, device, equipment and storage medium - Google Patents
Article storage layout method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a method, a device, equipment and a storage medium for article storage layout. The method comprises the following steps: acquiring historical order information of all articles to be warehoused, and calculating the article association degree among the articles to be warehoused according to the historical order information; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused. Through the technical means, the problem that the existing warehousing layout strategy influences the goods ex-warehouse efficiency is solved.
Description
Technical Field
The embodiment of the application relates to the technical field of intelligent warehousing, in particular to an article storage layout method, an article storage layout device, article storage equipment and a storage medium.
Background
Warehousing refers to the activities of warehousing, processing in warehouse, sorting, packaging in warehouse, storing and taking out of warehouse for various materials and related facilities and equipment by utilizing the warehouse. The storage is one of the important links of production, manufacturing and commodity circulation, and is also an important link of logistics activities. With the development of artificial intelligence, a large number of intelligent devices are applied to various activity links of warehousing, for example, articles to be warehoused are automatically transported and warehoused by a transport robot according to a preset warehouse layout strategy.
The currently adopted warehouse layout strategy is to place the articles to be warehoused on a storage shelf with a corresponding space according to the sizes of the articles so as to improve the storage utilization rate of the warehouse. And if the current storage shelf has the remaining space, the articles to be warehoused which are smaller than or equal to the size are conveyed to the remaining space for warehousing and storage according to the size of the remaining space. However, the existing warehouse layout strategy is only considered from the perspective of a single article size, and a multi-condition fusion judgment mechanism is lacked, so that when the carrying robot carries articles out of the warehouse, a fixed warehouse-out rule is not provided, and the article warehouse-out efficiency is low.
Disclosure of Invention
The embodiment of the application provides an article storage layout method, an article storage layout device, an article storage layout equipment and a storage medium, and can solve the problem that the existing warehousing layout strategy influences the ex-warehouse efficiency of articles.
In a first aspect, an embodiment of the present application provides an article storage layout method, including:
acquiring historical order information of all articles to be warehoused, and calculating the article association degree among the articles to be warehoused according to the historical order information;
determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition;
and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
Further, the historical order information includes order placing time, delivery address, order number and order account, and the calculating the item association degree between the items to be warehoused according to the historical order information includes:
correspondingly matching the ordering time, the delivery address, the order number and the order account of each article to be warehoused, and determining the ordering time matching degree, the delivery address matching degree, the order number matching degree and the order account matching degree among the articles to be warehoused;
and according to preset ordering time weight coefficients, delivery address weight coefficients, order number weight coefficients and order account weight coefficients, carrying out weighted calculation on the ordering time matching degree, the delivery address matching degree, the order number matching degree and the order account matching degree among the articles to be warehoused to obtain the article association degree among the articles to be warehoused.
Further, the step of enabling the item association degree between the items to be warehoused in the same group to meet the preset grouping condition includes:
comparing the item association degree with a preset association threshold value, and determining that the item association degree meets a preset grouping condition when the item association degree is greater than the association threshold value;
the determining the group of the articles to be warehoused according to the article association degree comprises:
dividing the articles to be warehoused with the article association degree greater than a preset association threshold into the same group; wherein, each article to be warehoused belongs to at least one group.
Further, the step of storing the articles to be warehoused in the same group close to each other according to the group of the articles to be warehoused comprises the following steps:
determining the storage space required for storing each group of articles to be warehoused according to the number and the size of the same group of articles to be warehoused and the size of a storage shelf in the warehouse;
and storing the same group of articles to be warehoused on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
Further, after the articles to be warehoused of the same group are stored close to each other, the method comprises the following steps:
determining the group association degree among the groups according to the articles to be warehoused contained in each group;
and storing the groups with high group association degrees in the vicinity according to the group association degrees.
Further, the determining the association degree between the groups according to the articles to be warehoused included in each group includes:
matching the articles to be warehoused contained in each group, and determining the group association degree between the groups according to the same articles to be warehoused in different groups.
Further, the storing the group with the high group association degree in the vicinity includes:
and storing the groups with high association degree on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
In a second aspect, an embodiment of the present application provides an article storage layout apparatus, including:
the first calculation module is configured to acquire historical order information of all articles to be warehoused, and calculate the article association degree between the articles to be warehoused according to the historical order information;
the group determining module is configured to determine the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition;
and the article storage module is configured to store the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
Further, the historical order information includes order placing time, delivery address, order number and order account, and in the first calculation module, the calculating the item association degree between the items to be warehoused according to the historical order information includes:
correspondingly matching the ordering time, the delivery address, the order number and the order account of each article to be warehoused, and determining the matching degree of the ordering time, the matching degree of the delivery address and the matching degree of the order number among the articles to be warehoused;
and according to preset ordering time weight coefficients, delivery address weight coefficients and order number weight coefficients, carrying out weighted calculation on the ordering time matching degree, the delivery address matching degree and the order number matching degree among the articles to be warehoused to obtain the article association degree among the articles to be warehoused.
Further, in the group determination module, the condition that the item association degree between the items to be warehoused in the same group meets the preset grouping condition includes:
comparing the item association degree with a preset association threshold value, and determining that the item association degree meets a preset grouping condition when the item association degree is greater than the association threshold value;
the determining the group of the articles to be warehoused according to the article association degree comprises:
dividing the articles to be warehoused with the article association degree greater than a preset association threshold into the same group; wherein, each article to be warehoused belongs to at least one group.
Further, in the article storage module, the approaching and storing of the articles to be warehoused in the same group according to the group of the articles to be warehoused includes:
determining the storage space required for storing each group of articles to be warehoused according to the number and the size of the same group of articles to be warehoused and the size of a storage shelf in the warehouse;
and storing the same group of articles to be warehoused on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
Further, the article storage layout device further comprises: the second calculation module is configured to determine the group association degree between the groups according to the articles to be warehoused contained in each group after the articles to be warehoused in the same group are stored adjacently; and the group storage module is configured to store the groups with high group association degrees in the vicinity according to the group association degrees.
Further, in the second calculation module, the determining, according to the articles to be warehoused included in each group, the association degree between each group includes:
matching the articles to be warehoused contained in each group, and determining the group association degree between the groups according to the same articles to be warehoused in different groups.
Further, in the group storing module, the storing the group with the high group association degree adjacent to the group includes:
and storing the groups with high association degree on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
In a third aspect, an embodiment of the present application provides an article storage layout apparatus, including:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the item storage layout method of the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the item storage layout method according to the first aspect when executed by a computer processor.
According to the embodiment of the application, historical order information of all articles to be warehoused is acquired, and article association degrees among the articles to be warehoused are calculated according to the historical order information; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused. Through the technical means, the article association degree between the articles to be warehoused is determined according to the historical order information, and the probability that the corresponding articles to be warehoused are simultaneously taken out of the warehouse is characterized through the article association degree. The articles to be warehoused with higher article relevance degree are classified into the same group, and the articles to be warehoused in the same group are stored close to each other, so that the articles to be warehoused in the same group stored close to each other can be taken out of the warehouse together in the subsequent warehouse-out process, and the article warehouse-out efficiency is improved.
Drawings
Fig. 1 is a flowchart of an article storage layout method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an electronic order invoice provided by an embodiment of the application;
FIG. 3 is a schematic flow chart illustrating another method for storing and arranging items according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an article storage layout apparatus according to a second embodiment of the present application;
fig. 5 is a schematic structural diagram of an article storage layout apparatus according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The method, the device, the equipment and the storage medium for storing and distributing the articles aim to calculate the article association degree among the articles to be warehoused according to historical order information by acquiring the historical order information of all the articles to be warehoused; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused. Compared with the traditional warehousing technology, the warehouse layout strategy is to store various types of articles in a mixed mode, so that the carrying robot carries the articles from various places of a warehouse to leave the warehouse, a fixed warehouse-out rule is not provided, and the article leaving efficiency is low. Based on the above, the article storage layout method provided by the application aims to solve the problem that the existing warehousing layout strategy influences the article ex-warehouse efficiency.
The first embodiment is as follows:
fig. 1 is a flowchart of an article storage layout method according to an embodiment of the present application, where the article storage layout method provided in this embodiment may be executed by an article storage layout device, the article storage layout device may be implemented in a software and/or hardware manner, and the article storage layout device may be formed by two or more physical entities or may be formed by one physical entity. The article storage layout device may be a separate device such as a computer, or may be a device integrated with the transfer robot.
The following description will be made by taking a computer as an example of a main body for executing the article storage layout method. Referring to fig. 1, the method for storing and arranging the articles specifically includes:
s110, obtaining historical order information of all articles to be warehoused, and calculating the article association degree of each article to be warehoused according to the historical order information.
The articles to be warehoused are articles which need to be placed on storage racks of the warehouse through the carrying robot. The warehouse is provided with a plurality of storage shelves, and at least one article to be warehoused can be placed on one storage shelf. The article storage layout strategy refers to which articles to be warehoused are stored on which storage shelf, and the article storage layout method provided by the embodiment considers the article warehousing-out sequence during warehousing, aims to place articles which are warehoused simultaneously on the same storage shelf or adjacent storage shelves, so that when the carrying robot carries the same batch of articles, only a certain area of a warehouse is required to be fixedly taken for carrying, and improves the warehousing-out efficiency of the carrying robot.
Illustratively, the historical order information refers to order information corresponding to the articles to be warehoused within a preset time period, the preset time period can be one year, half a year or three months, and the preset time period can be set according to actual requirements. It will be appreciated that when an item is ordered, it is accordingly required to be retrieved from the warehouse and delivered to the customer. Therefore, the historical order information can reflect the shipment condition of the corresponding articles to be warehoused in the preset time period, and the articles to be warehoused can be determined to be warehoused in the same batch according to the historical order information of all the articles to be warehoused, so that the articles to be warehoused which are warehoused in the same batch are stored adjacently. In this embodiment, the historical order information includes the time of order placement, shipping address, and order number. Accordingly, the step of calculating the item association degree between the items to be warehoused according to the historical order information comprises the steps of S1101-S1102:
s1101, correspondingly matching the order placing time, the delivery address, the order number and the order account of each article to be warehoused, and determining the order placing time matching degree, the delivery address matching degree and the order number matching degree among the articles to be warehoused.
Illustratively, each time a customer orders an item, the merchandise system automatically generates an electronic order invoice for the purchase. Fig. 2 is a schematic diagram of an electronic order invoice provided by an embodiment of the present application. As shown in fig. 2, the electronic order invoice records the order number of the shopping, each invoice uniquely corresponds to one order number, the order placing time is the payment time of the shopping of the customer, and the delivery address is the delivery address of the goods ordered by the customer. The electronic order invoice also records the items A, B, C and D ordered by the customer. Assuming that the order placing time of the electronic order invoice is within the preset time period of the historical order information of the article a, the order information in the electronic order invoice belongs to the historical order information of the article a, and the order number, the order placing time and the dispatch address in the electronic order invoice are correspondingly obtained. And generating a historical order information table of the article A according to the order invoice of the article A within the preset time period at the order placing time. The historical order information table for item a is as follows:
TABLE 1
As shown in table 1, the order number, the placing time and the shipping address in each electronic order invoice with the purchase record of the article a are placed in the same row, and the row number of the historical order information table is the same as the order number of the article a. Correspondingly, each article to be warehoused also has a corresponding historical order information table. However, the order times of each article to be warehoused may be different, and the line number of each historical order information table is also different.
In the embodiment, the historical order information tables of any two articles to be put in storage are compared line by line, and the order-placing time matching degree, the delivery address matching degree and the order number matching degree between any two articles to be put in storage are respectively calculated. Illustratively, the order placing time of each row of the historical order information table of the article a is compared with the order placing time of each row of the historical order information table of the article B one by one, and if the order placing time difference value of the two is smaller than a preset time difference value threshold value, the two are determined to be in the same time period for order placing. The time difference threshold may be understood as a maximum time difference between the ordering time of two articles and the delivery time of the same batch, and may be set according to an actual delivery frequency, for example, a warehouse with a higher delivery frequency may set a smaller time difference threshold, and a warehouse with a smaller delivery frequency may set a larger time difference threshold. Further, when the historical ordering time of the article A and the historical ordering time of the article B are in the same time period every time, the matching times of the ordering time of the article A and the ordering time of the article B are accumulated. For example, if the historical order information table of item a includes 7 rows and the historical order information table of item B includes 6 rows, the number of times that the historical order information table of item a and the historical order information table of item B are compared line by line is 7 × 6 — 42 times. Because the number of lines of the historical order information table among the articles to be warehoused is different, the number of times of comparison line by line is also different, the corresponding number of times of comparison is divided after the matching number is determined to perform normalization processing, and the calculation accuracy is ensured. For example, if the order time matching times of the article a and the article B are 21 times, the order time matching degree is calculated to be 0.5.
Similarly, the matching degree of the order numbers of any two articles to be put in storage and the matching degree of the delivery addresses are compared line by line to determine the matching times, and then the matching degree is calculated according to the comparison times and the matching times. The matching condition of the order numbers is that the order account numbers or the order numbers of the two articles to be warehoused are the same. The matching condition of the dispatching addresses is that the distance between the dispatching addresses of the articles to be warehoused is smaller than a preset distance threshold, wherein the preset distance threshold can be understood as the maximum distance between two dispatching addresses in the same area.
It can be understood that the order issuing time matching degree, the delivery address matching degree and the order number matching degree can be used for representing the probability of the same ex-warehouse of the corresponding articles to be warehoused. The order-placing sequence of the articles is generally according to order-placing time of a client, the articles are placed earlier and earlier in order-placing time, and the articles placed in the same time period are generally arranged to be placed out at the same time. Therefore, the higher the matching degree of the ordering time is, the more the ordering times of the corresponding articles to be warehoused in the same time period are, and the higher the corresponding probability of simultaneously leaving the warehouse next time is. The goods in the same area are generally simultaneously arranged to be delivered, and the delivery efficiency can be effectively improved, so that the higher the matching degree of the delivery address is, the higher the corresponding probability of simultaneous delivery next time is. For items in the same order, the same order placing time and delivery address are the same, and the same customer generally arranges for simultaneous delivery. The higher the matching degree of the order numbers of the articles to be warehoused is, the higher the probability that the corresponding articles to be warehoused are delivered out of the warehouse at the next time, the higher the matching degree of the order numbers of the articles to be warehoused is, the higher the probability that the customer is used to buy the corresponding articles at the same time, if some families buy some household daily necessities at regular time.
S1102, according to preset ordering time weight coefficients, delivery address weight coefficients and order number weight coefficients, carrying out weighted calculation on ordering time matching degrees, delivery address matching degrees and order number matching degrees among the articles to be warehoused to obtain article association degrees among the articles to be warehoused.
Illustratively, the order time weighting factor, the dispatch address weighting factor, and the order number weighting factor are used to determine whether to output the items in the same time period, the items in the same area, or the items in the same order at the same time. Based on the weight coefficient, the order time weight coefficient, the dispatch address weight coefficient and the order number weight coefficient can be set according to actual requirements. In this embodiment, the order time weighting factor Q1, the dispatch address weighting factor Q2, and the order number weighting factor Q3 are added to 1, the weighting factors Q1, Q2, and Q3 are correspondingly multiplied by the order time matching degree P1, the dispatch address matching degree P2, and the order number matching degree P3, and the products of the three are added to obtain the article association degree. Wherein, the weighting calculation logic of the weight coefficient and the matching degree can be expressed by the following formula:
G＝P1×Q1+P2×Q2+P3×Q3
wherein G is the item association degree.
S120, determining the group of each article to be warehoused according to the article association degree; and the association degree between the articles to be warehoused in the same group meets a preset grouping condition.
For example, the article association degree may be understood as a probability that the articles to be warehoused are taken out of the same batch, and a higher article association degree indicates a higher probability that the articles to be warehoused are taken out of the same batch. Therefore, in order to ensure the delivery efficiency, the articles to be delivered in the warehouse in the same batch can be adjacently stored, and the conveying distance of the conveying robot is reduced. Therefore, the articles to be warehoused are grouped according to the article association degree among the articles to be warehoused, so that the articles to be warehoused which are discharged from the warehouse in the same batch at a large probability are divided into the same group, and the grouped storage is realized.
In this embodiment, grouping is performed by determining whether the article association degrees of articles to be put in storage satisfy a grouping condition for being classified into the same group. And the grouping condition is a correlation threshold value, and the groups of the articles to be put in storage are divided according to whether the article correlation degree meets the correlation threshold value. For example, the item association degree is compared with a preset association threshold, and when the item association degree is greater than the association threshold, it is determined that the item association degree meets a preset grouping condition. The association threshold may be understood as the lowest item association degree of the items to be warehoused that are classified into the same group, if the item association degree is greater than the association threshold, it indicates that the corresponding items to be warehoused satisfy the grouping condition for being classified into the same group, and if the item association degree is less than or equal to the association threshold, it indicates that the corresponding items to be warehoused do not satisfy the grouping condition for being classified into the same group. Further, the articles to be warehoused, of which the article association degree is greater than a preset association threshold value, are divided into the same group. Wherein, each article to be warehoused belongs to at least one group. For example, if the item association degree of the item a and the item B is greater than the association threshold, the item a and the item B are classified into the same group, and if the item association degree of the item a and the item C is greater than the association threshold, the item a and the item C are classified into the same group. At this time, if the item association degree of the item B and the item C is greater than the association threshold value, the item a, the item B, and the item C are classified into the same group, and if the item association degree of the item B and the item C is less than or equal to the association threshold value, the item a, the item B, and the item C are classified into three groups.
And S130, storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
As can be seen from the above, the same group of articles to be warehoused is delivered from the same batch with a high probability, and the adjacent storage of the articles to be warehoused delivered from the same batch can effectively shorten the conveying distance of the conveying robot, so that the articles to be warehoused of the same group are stored adjacent to each other in this embodiment. In this embodiment, the step of storing the same group of articles to be warehoused in the vicinity of the warehouse comprises S1301-S1302:
s1301, determining the storage space required for storing each group of articles to be warehoused according to the number and the size of the same group of articles to be warehoused and the size of a storage shelf in the warehouse.
Illustratively, each group comprises at least two articles to be warehoused, and the number of each article to be warehoused is at least one. And determining the number of the storage shelves required for completely storing the group of articles to be warehoused according to the size of the storage shelves and the size and the number of the articles to be warehoused in the same group.
S1302, storing the same group of articles to be warehoused on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
For example, if a storage shelf is required for completely storing the group of articles to be warehoused, all the group of articles to be warehoused can be stored on the same storage shelf. And if a plurality of storage shelves are needed for completely storing the group of articles to be warehoused, storing the group of articles to be warehoused onto a plurality of adjacent storage shelves.
In summary, in the embodiment of the application, historical order information of all articles to be warehoused is acquired, and article association degrees among the articles to be warehoused are calculated according to the historical order information; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused. Through the technical means, the article association degree between the articles to be warehoused is determined according to the historical order information, and the probability that the corresponding articles to be warehoused are simultaneously taken out of the warehouse is characterized through the article association degree. The articles to be warehoused with higher article relevance degree are classified into the same group, and the articles to be warehoused in the same group are stored close to each other, so that the articles to be warehoused in the same group stored close to each other can be taken out of the warehouse together in the subsequent warehouse-out process, and the article warehouse-out efficiency is improved.
On the other hand, fig. 3 is a schematic flow chart of another method for storing and arranging items according to a first embodiment of the present application. The present embodiment is further described on the basis of the above-described embodiments. Referring to fig. 3, the present embodiment provides an article storage layout including:
s210, obtaining historical order information of all articles to be warehoused, and calculating the article association degree of each article to be warehoused according to the historical order information.
S220, determining the group of each article to be warehoused according to the article association degree; and the association degree between the articles to be warehoused in the same group meets a preset grouping condition.
And S230, storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
For example, steps S210-S230 refer to steps S110-S130.
And S240, determining the group association degree among the groups according to the articles to be warehoused contained in each group.
For example, since the storage shelf storing the same group is also adjacent to other storage shelves, the group with higher group association degree can be adjacent to be stored according to the group association degree between the groups.
In this embodiment, the articles to be warehoused included in each group are matched, and the group association degree between each group is determined according to the same articles to be warehoused in different groups. Illustratively, if the first group includes item a, item B, item C, and item D and the second group includes item a, item B, item C, and item E, then there are three overlapping items in the first group and the second group, and thus the degree of association between the first group and the second group is 3.
And S250, storing the groups with high group association degrees in the vicinity according to the group association degrees.
In this embodiment, the groups with high association degree are stored on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused. For example, if a certain storage space remains in a storage shelf on which a certain group of articles to be warehoused is stored, the article to be warehoused with the highest degree of association with the group of the group is placed on the storage shelf. If the storage shelf for storing a certain group of articles to be warehoused has no storage space, placing the articles to be warehoused with the highest group association degree on the adjacent shelf of the storage shelf. Specifically, the article relevance between the article a, the article B and the article C is high enough, that is, the probability that the three articles are simultaneously delivered is high. Therefore, when the first group and the second group are stored adjacently, no matter the articles in the first group or the articles in the second group are transported in the same batch, the articles are stored in the adjacent storage shelves, the transfer robot does not need to carry the articles across areas, and the transfer path of the transfer robot for carrying the articles in the same batch is effectively shortened.
In summary, in the embodiment of the application, historical order information of all articles to be warehoused is acquired, and article association degrees among the articles to be warehoused are calculated according to the historical order information; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; according to the group of the articles to be warehoused, the articles to be warehoused in the same group are stored adjacently; determining the group association degree among the groups according to the articles to be warehoused contained in each group; and storing the groups with high group association degrees in the vicinity according to the group association degrees. Through the technical means, the groups with higher group association degree are stored adjacently, so that the articles discharged from the same batch are stored adjacently at a high probability, the conveying distance of the conveying robot for conveying the articles of the same batch is reduced, and the article discharging efficiency is improved.
Example two:
on the basis of the above embodiments, fig. 4 is a schematic structural diagram of an article storage layout apparatus according to a second embodiment of the present application. Referring to fig. 4, the article storage layout apparatus provided in this embodiment specifically includes: a first calculation module 31, a group determination module 32 and an item storage module 33.
The first calculating module 31 is configured to acquire historical order information of all articles to be warehoused, and calculate an article association degree between each article to be warehoused according to the historical order information;
a group determining module 32 configured to determine a group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition;
and the article storage module 33 is configured to store the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
On the basis of the above embodiment, the historical order information includes order placing time, delivery address, order number, and order account, and the calculating, in the first calculation module, the item association degree between the items to be warehoused according to the historical order information includes:
correspondingly matching the ordering time, the delivery address, the order number and the order account of each article to be warehoused, and determining the matching degree of the ordering time, the matching degree of the delivery address and the matching degree of the order number among the articles to be warehoused;
and according to the preset ordering time weight coefficient, the delivery address weight coefficient and the order number weight coefficient, carrying out weighted calculation on the ordering time matching degree, the delivery address matching degree and the order number matching degree among the articles to be warehoused to obtain the article association degree among the articles to be warehoused.
On the basis of the above embodiment, in the group determination module, the condition that the item association degree between the items to be warehoused in the same group meets the preset grouping condition includes:
comparing the item association degree with a preset association threshold value, and determining that the item association degree meets a preset grouping condition when the item association degree is larger than the association threshold value;
determining the group of each article to be warehoused according to the article association degree comprises the following steps:
dividing the articles to be warehoused with the article association degree greater than a preset association threshold into the same group; wherein, each article to be warehoused belongs to at least one group.
On the basis of the above embodiment, in the article storage module, according to the group of the articles to be put in storage, the approaching storage of the articles to be put in storage in the same group includes:
determining the storage space required for storing each group of articles to be warehoused according to the number and the size of the same group of articles to be warehoused and the size of a storage shelf in the warehouse;
and storing the same group of articles to be warehoused on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
On the basis of the above embodiment, the article storage layout apparatus further includes: the second calculation module is configured to determine the group association degree among the groups according to the articles to be warehoused contained in each group after the articles to be warehoused in the same group are stored adjacently; and the group storage module is configured to adjacently store the groups with high group association degrees according to the group association degrees.
On the basis of the above embodiment, in the second calculation module, determining the association degree between each group according to the articles to be warehoused included in each group includes:
matching the articles to be warehoused contained in each group, and determining the group association degree between the groups according to the same articles to be warehoused in different groups.
On the basis of the above embodiment, the storing, in the group storing module, the groups having the high association degree of the groups in proximity includes:
and storing the groups with high group association degree on the same storage shelf or an adjacent storage shelf according to the storage space required by each group of articles to be warehoused.
The method comprises the steps of obtaining historical order information of all articles to be warehoused, and calculating the article association degree among the articles to be warehoused according to the historical order information; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused. Through the technical means, the article association degree between the articles to be warehoused is determined according to the historical order information, and the probability that the corresponding articles to be warehoused are simultaneously taken out of the warehouse is characterized through the article association degree. The articles to be warehoused with higher article relevance degree are classified into the same group, and the articles to be warehoused in the same group are stored close to each other, so that the articles to be warehoused in the same group stored close to each other can be taken out of the warehouse together in the subsequent warehouse-out process, and the article warehouse-out efficiency is improved.
The article storage layout device provided by the second embodiment of the present application can be used for executing the article storage layout method provided by the first embodiment, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an article storage layout apparatus, and referring to fig. 5, the article storage layout apparatus includes: a processor 41, a memory 42, a communication module 43, an input device 44, and an output device 45. The number of processors in the item storage layout device may be one or more, and the number of memories in the item storage layout device may be one or more. The processor, memory, communication module, input device, and output device of the item storage layout apparatus may be connected by a bus or other means.
The memory 42 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the article storage layout method according to any embodiment of the present application (for example, the first calculation module 31, the group determination module 32, and the article storage module 33 in the article storage layout apparatus). The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 43 is used for data transmission.
The processor 41 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the memory, so as to realize the article storage layout method.
The input device 44 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 45 may include a display device such as a display screen.
The article storage layout device provided above can be used to execute the article storage layout method provided in the first embodiment above, and has corresponding functions and advantages.
Example four:
embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for item storage layout, the method comprising: acquiring historical order information of all articles to be warehoused, and calculating the article association degree among the articles to be warehoused according to the historical order information; determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition; and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the article storage layout method described above, and may also perform related operations in the article storage layout method provided in any embodiment of the present application.
The article storage layout device, the apparatus, and the storage medium provided in the foregoing embodiments may execute the article storage layout method provided in any embodiment of the present application, and refer to the article storage layout method provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. A method of item storage layout, comprising:
acquiring historical order information of all articles to be warehoused, and calculating the article association degree among the articles to be warehoused according to the historical order information;
determining the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition;
and storing the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
2. The method according to claim 1, wherein the historical order information includes an order placing time, a delivery address and an order number, and the calculating the item association degree between the items to be warehoused according to the historical order information includes:
correspondingly matching the ordering time, the delivery address, the order number and the order account of each article to be warehoused, and determining the matching degree of the ordering time, the matching degree of the delivery address and the matching degree of the order number among the articles to be warehoused;
and according to preset ordering time weight coefficients, delivery address weight coefficients and order number weight coefficients, carrying out weighted calculation on the ordering time matching degree, the delivery address matching degree and the order number matching degree among the articles to be warehoused to obtain the article association degree among the articles to be warehoused.
3. The method according to claim 1, wherein the condition that the item association degree between the items to be warehoused in the same group meets the preset grouping condition comprises the following steps:
comparing the item association degree with a preset association threshold value, and determining that the item association degree meets a preset grouping condition when the item association degree is greater than the association threshold value;
the determining the group of the articles to be warehoused according to the article association degree comprises:
dividing the articles to be warehoused with the article association degree greater than a preset association threshold into the same group; wherein, each article to be warehoused belongs to at least one group.
4. The method according to claim 1, wherein the storing of the articles to be warehoused in the same group adjacent to each other according to the group of the articles to be warehoused comprises:
determining the storage space required for storing each group of articles to be warehoused according to the number and the size of the same group of articles to be warehoused and the size of a storage shelf in the warehouse;
and storing the same group of articles to be warehoused on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
5. The method according to claim 1, further comprising, after the storing of the same group of items to be warehoused, the step of:
determining the group association degree among the groups according to the articles to be warehoused contained in each group;
and storing the groups with high group association degrees in the vicinity according to the group association degrees.
6. The method according to claim 5, wherein the determining the association degree between the groups according to the items to be warehoused included in the groups comprises:
matching the articles to be warehoused contained in each group, and determining the group association degree between the groups according to the same articles to be warehoused in different groups.
7. The method of claim 5, wherein the adjacently storing the groups with the high group association degree comprises:
and storing the groups with high association degree on the same storage shelf or adjacent storage shelves according to the storage space required by each group of articles to be warehoused.
8. An article storage arrangement, comprising:
the association calculation module is configured to acquire historical order information of all articles to be warehoused and calculate article association degrees among the articles to be warehoused according to the historical order information;
the group determining module is configured to determine the group of each article to be warehoused according to the article association degree; wherein, the association degree between the articles to be warehoused in the same group meets the preset grouping condition;
and the article storage module is configured to store the articles to be warehoused in the same group adjacently according to the group of the articles to be warehoused.
9. An article storage layout apparatus, comprising:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the item storage layout method of any of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the article storage layout method of any of claims 1-7 when executed by a computer processor.
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